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Building High-Performance Apps with Golang

Developed by Google in 2009, Golang is an open-source language that has been steadily gaining traction. While there is a right tool/language for every job, Golang or Go makes a perfect choice in many scenarios.

Major Benefits of Golang

Concurrency

Modern applications are built for real-time collaboration and increasingly rely on microservices. A language that has built-in features to support concurrent web requests is highly desirable. Go manages concurrency efficiently while keeping the execution straightforward. It enables connections with millions of users from a single instance and interaction with any number of services without blocking web requests.

Simplicity

Golang has a clean syntax. To keep it simple, Go forgoes many features such as classes, inheritance, and annotations. While this could lead to a few extra lines of code, Golang ensures clarity. The language becomes an ideal choice if you have a very large codebase with different teams working on different segments of the code. Modifications and code maintenance becomes a breeze compared to languages like Java.

Performance

Golang races past high-level languages like Java in performance. Because it can be compiled directly and does not need a virtual machine to convert the code into machine-readable format, Go code executes fast similar to JavaScript on a web page. Moreover, sub-millisecond garbage collection pauses in Golang helps to avoid loading delays boosting application speed.

Reasons to Adopt Go

Speed

Simplicity

Deployment ease

Cross-compilation support

Automatic memory management

Scalability

Open source

Enterprises Using Golang

Where Golang Fits

Go makes an ideal choice for backend web development, particularly for high-performing concurrent services on the server side. It can be used for building the server side of your mobile app too. For instance, the GUI part of an Android app can be written in Java while the app backend can use Golang.

Where speed and scalability are needed, Go is often opted. It is the perfect language for writing microservices. Go also features as an option among Python and R in data science because of reasons including easy deployability, cross-platform support, and built-in error checks.